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. Mingjie Liu, focusing on the development and implementation in advanced machine learning and deep learning models to predict new materials and molecule properties. This one-year appointment is renewable
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graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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colleagues, researchers, and educators from throughout the University of Florida community to create, identify, and evaluate learning resources and services in the areas of computer vision; works with students
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teams to solve sports problems using statistics, machine learning, data science, and artificial intelligence methods; and experience running a Center, Center of Excellence, Institute, Lab, or Program at a
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conservation. Examples of qualified candidates include: 1) those who apply and/or develop tools in artificial intelligence disciplines (deep learning, neural networks, machine learning, natural